Vivien Cabannes

According to our database1, Vivien Cabannes authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Associative Memories with Gradient Descent.
CoRR, 2024

Mode Estimation with Partial Feedback.
CoRR, 2024

2023
Touring sampling with pushforward maps.
CoRR, 2023

Scaling Laws for Associative Memories.
CoRR, 2023

Open Problem: Learning with Variational Objectives on Measures.
CoRR, 2023

Going Deeper with Spectral Embeddings.
CoRR, 2023

How many samples are needed to leverage smoothness?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Birth of a Transformer: A Memory Viewpoint.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The SSL Interplay: Augmentations, Inductive Bias, and Generalization.
Proceedings of the International Conference on Machine Learning, 2023

Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On Minimal Variations for Unsupervised Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning with Variational Objectives on Measures.
Proceedings of the IEEE International Conference on Big Data, 2023

A Case of Exponential Convergence Rates for SVM.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
From Weakly Supervised Learning to Active Learning.
CoRR, 2022

Active Labeling: Streaming Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Disambiguation of weak supervision with exponential convergence rates.
CoRR, 2021

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Disambiguation of Weak Supervision leading to Exponential Convergence rates.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fast Rates for Structured Prediction.
Proceedings of the Conference on Learning Theory, 2021

2020
Diptychs of human and machine perceptions.
CoRR, 2020

Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space.
CoRR, 2020

Structured Prediction with Partial Labelling through the Infimum Loss.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Dialog on a canvas with a machine.
CoRR, 2019


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